An Energy Closure Criterion for Model Reduction of a Kicked Euler-Bernoulli Beam

Reduced order models (ROMs) can be simulated with lower computational cost while being more amenable to theoretical analysis. Here, we examine the performance of the proper orthogonal decomposition (POD), a data-driven model reduction technique. We show that the accuracy of ROMs obtained using POD depends on the type of data used and, more crucially, on the criterion used to select the number of proper orthogonal modes (POMs) used for the model. Simulations of a simply supported Euler–Bernoulli beam subjected to periodic impulsive loads are used to generate ROMs via POD, which are then simulated for comparison with the full system. We assess the accuracy of ROMs obtained using steady-state displacement, velocity, and strain fields, tuning the spatiotemporal localization of applied impulses to control the number of excited modes in, and hence the dimensionality of, the system’s response. We show that conventional variance-based mode selection leads to inaccurate models for sufficiently impulsive loading and that this poor performance is explained by the energy imbalance on the reduced subspace. Specifically, the subspace of POMs capturing a fixed amount (say, 99.9%) of the total variance underestimates the energy input and dissipated in the ROM, yielding inaccurate reduced-order simulations. This problem becomes more acute as the loading becomes more spatio-temporally localized (more impulsive). Thus, energy closure analysis provides an improved method for generating ROMs with energetics that properly reflect that of the full system, resulting in simulations that accurately represent the system’s true behavior.

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Work Title An Energy Closure Criterion for Model Reduction of a Kicked Euler-Bernoulli Beam
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Open Access
Creators
  1. Suparno Bhattacharyya
  2. Joseph Cusumano
Keyword
  1. model order reduction, proper orthogonal decomposition (POD), reduced order model (ROM) , dynamical systems, modal analysis, energy closure analysis, energy balance, structural vibration
License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Work Type Article
Publisher
  1. ASME
Publication Date November 2, 2020
Publisher Identifier (DOI)
  1. https://doi.org/10.1115/1.4048663
Deposited November 26, 2020

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Version 1
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  • Created
  • Updated Keyword, Publisher, Publisher Identifier (DOI), and 2 more Show Changes
    Keyword
    • model order reduction, proper orthogonal decomposition (POD), reduced order model (ROM) , dynamical systems, modal analysis, energy closure analysis, energy balance, structural vibration
    Publisher
    • ASME
    Publisher Identifier (DOI)
    • https://doi.org/10.1115/1.4048663
    Description
    • Reduced order models (ROMs) can be simulated with lower computational cost while being more amenable to theoretical analysis. Here, we examine the performance of the proper orthogonal decomposition (POD), a data-driven model reduction technique. We show that the accuracy of ROMs obtained using POD depends on the type of data used and, more crucially, on the criterion used to select the number of proper orthogonal modes (POMs) used for the model. Simulations of a simply supported Euler–Bernoulli beam subjected to periodic impulsive loads are used to generate ROMs via POD, which are then simulated for comparison with the full system. We assess the accuracy of ROMs obtained using steady-state displacement, velocity, and strain fields, tuning the spatiotemporal localization of applied impulses to control the number of excited modes in, and hence the dimensionality of, the system’s response. We show that conventional variance-based mode selection leads to inaccurate models for sufficiently impulsive loading and that this poor performance is explained by the energy imbalance on the reduced subspace. Specifically, the subspace of POMs capturing a fixed amount (say, 99.9%) of the total variance underestimates the energy input and dissipated in the ROM, yielding inaccurate reduced-order simulations. This problem becomes more acute as the loading becomes more spatio-temporally localized (more impulsive). Thus, energy closure analysis provides an improved method for generating ROMs with energetics that properly reflect that of the full system, resulting in simulations that accurately represent the system’s true behavior.
    Publication Date
    • 2020-11-02
  • Added Creator Suparno Bhattacharyya
  • Added Creator Joseph Cusumano
  • Added Bhattacharyya_Cusumano_An Energy Closure Criterion for model reduction of a kicked EB beam_PSU.pdf
  • Updated License Show Changes
    License
    • https://creativecommons.org/licenses/by-nc/4.0/
  • Published